The Central Limit Theorem(CLT) states that if a distribution has a finite variance, the mean of a set of samples from the distribution approaches the mean of the original distribution.
It also says that the distribution of the means of the set of samples is normally distributed.
We can test this out with the exponential distribution, which has a finite variance \(1/\lambda^2\)